PeopleofSuperintelligence

Researcher

Nathan Schneider

Nathan Schneider is a computational linguist whose work applies NLP to word meaning and studies syntactic bias in Transformer models. He earned a BA in Linguistics and Computer Science at UC Berkeley in 2008, completed a PhD at Carnegie Mellon in 2014, worked at Edinburgh, and joined Georgetown as an assistant professor. In 2018, he coauthored an annotation scheme, corpus, and task for English prepositions and possessives; a 2023 study tested syntactic inductive bias in Transformers. In March 2025, the Supreme Court cited an amicus brief he coauthored on firearm parts kits. Since 2022, he is a Provost's Distinguished Associate Professor at Georgetown, jointly appointed in Linguistics and Computer Science.

Works
187
Citations
6,691
h-index
28

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2008

    A Berkeley degree

    He earns a BA in Linguistics and Computer Science at UC Berkeley in 2008.

  2. 2014

    Lexical Semantic Analysis

    He completes a PhD at Carnegie Mellon in 2014 with a dissertation titled Lexical Semantic Analysis in Natural Language Text. The dissertation develops a general-purpose framework for describing word groupings and meanings in context and includes an open-source NLP system that automates the analysis through statistical sequence tagging.

  3. 2014–2016

    A postdoc at Edinburgh

    He works as a postdoctoral researcher at the University of Edinburgh's ILCC in its School of Informatics from 2014 to 2016, with Mark Steedman as his supervisor.

  4. 2016–2022

    Assistant professor at Georgetown

    He joins Georgetown in 2016 as an assistant professor of Linguistics and Computer Science and holds the role through 2022.

  5. 2018

    English supersense annotation

    In 2018, he coauthors a paper that introduces an annotation scheme, corpus, and task for disambiguating English prepositions and possessives.

  6. 2023

    Testing syntax in Transformer models

    He coauthors a study of syntactic inductive bias in Transformer language models with Luke Gessler in 2023. Experiments on Uyghur, Wolof, Maltese, Coptic, and Ancient Greek find uneven results and little benefit in most low-resource settings.

  7. March 2025

    A Supreme Court amicus brief

    In March 2025, he coauthors an amicus brief with Kevin Tobia and Brandon Waldon arguing that gun parts kits fall under the definition of a firearm. The Supreme Court cites the brief in its 7-to-2 majority opinion.

  8. Since 2022

    Associate professor at Georgetown

    In 2022, he becomes a Provost's Distinguished Associate Professor at Georgetown, jointly appointed in Linguistics and Computer Science. His listed interests include computational linguistics and natural language processing. In May 2026, he says he may admit a PhD student in Computer Science or Computational Linguistics in the next admissions cycle.

Career

  1. Since 2016Georgetown UniversityAssistant professor of Linguistics and Computer Science
  2. 2017–2020Hebrew University of Jerusalem
  3. 2017–2026University of Colorado Boulder
  4. 2014–2016University of EdinburghPostdoctoral researcher

Education

  1. 2014Carnegie Mellon UniversityPhD
  2. 2008University of California, BerkeleyBA

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Part-of-Speech Tagging for Twitter: Annotation, Features, and Experiments2018 · 800 citationsWith Dani Yogatama, Dipanjan Das and Noah Smith
  2. Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters2018 · 662 citationsWith Noah Smith
  3. Frame-Semantic Parsing2013 · Computational Linguistics · 292 citationsWith Dipanjan Das and Noah Smith
  4. A Dependency Parser for Tweets2014 · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 209 citationsWith Noah Smith
  5. Probabilistic Frame-Semantic Parsing2018 · 170 citationsWith Dipanjan Das and Noah Smith

From OpenAlex, as of 21 October 2026.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Georgetown University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Georgetown University. We estimate where the people shaping AI studied and where their careers led. Massachusetts Institute of Technology leads with 467 former students, including 291 recorded doctorates.
  3. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Georgetown University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  4. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Georgetown University. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Nathan Schneider | Undergraduate Interdisciplinary Program in Cognitive Science | Georgetown University cognitivescience.georgetown.edu. Checked 21 October 2026.
  2. Nathan Schneider :: Thesis cs.cmu.edu. Checked 21 October 2026.
  3. Nathan Schneider | About Me people.cs.georgetown.edu. Checked 21 October 2026.
  4. Comprehensive Supersense Disambiguation of English Prepositions and Possessives - ACL Anthology aclanthology.org. Checked 21 October 2026.
  5. Syntactic Inductive Bias in Transformer Language Models: Especially Helpful for Low-Resource Languages? - ACL Anthology aclanthology.org. Checked 21 October 2026.
  6. How These Hoyas Scored a Win in Supreme Court ‘Ghost Guns’ Case - Georgetown University georgetown.edu. Checked 21 October 2026.
  7. Nathan Schneider | Advising people.cs.georgetown.edu. Checked 21 October 2026.
  8. Faculty - Department of Computer Science cs.georgetown.edu. Checked 21 October 2026.